Statistical Tests in Biomedical Research

Statistical tests are fundamental tools in biomedical research, enabling Zambian university and college students to analyze data, test hypotheses, and draw valid conclusions in health sciences. This topic covers essential parametric and non-parametric tests such as Student's t-test, ANOVA, Chi-square, Mann-Whitney U, and Fisher's Exact Test, along with their assumptions and applications. Mastery of these tests is crucial for designing robust studies, interpreting laboratory and clinical data, and succeeding in tertiary-level examinations. For Zambian diploma and degree students, understanding statistical tests enhances research capabilities, supports evidence-based practice, and prepares learners for professional roles in public health, clinical laboratories, and epidemiological investigations. This knowledge is vital for conducting ethical research, ensuring accuracy in biostatistical analysis, and contributing to healthcare improvements in Zambia and beyond.